Answer:
d. It is best measured using the statistic variance inflation factor (VIF).
Explanation:
Multicollinearity is an important issue in multiple regression model, having many independent/ explanatory variables. Multicollinearity is the situation in which two or more independent variables are highly correlated. It is problematic because it increases the standard error of independent variable coefficient & undermines its statistical significance
Variance Inflation Factor [VIF] is a check & corrective measure of multicollinearity.
- VIF as a multicollinearity check : It quantifies the correlation between one explanatory variable with other explanatory variables.VIF = 1 implies there is no multicollinearity (correlation between independent variables); VIF upto 5 implies there is moderate multicollinearity (correlation between independent variables). VIF > 5 implies high multicollinearity (correlation between independent variables)
- VIF as a multicollinearity correction : Calculating
= σ^2 /
; where TSS = total sum of square of variable j , σ^2 = j variance, R^2 j = R^2 from regressing all other independent variable on variable j
Answer: a.$275,000
Explanation:
Let us assume local production sales of 0 for simplicity of analysis.
At 0 there will be no Variable Costs and no fixed costs because they are dependant on the amount of units produced.
If then Rylan Corporation receives 25,000 units at $16 per unit this will change the Variable costs as it will have to incorporate the new units.
The question however says that normal production continues. This means that Fixed costs do not change. That means fixed costs remain at $0.
That means the only change will be the Variable costs of selling 25,000 units.
At a rate of $11 per unit we then have,
= 11 * 25,000
= $275,000
The costs have increased by $275,000 from 0 which means that $275,000 is the Incremental cost.
Note that Fixed and Variable costs of 0 are improbable and we're only used for simpler analysis. Feel free to try the question with other number of units for your own practice. You will arrive at the same answer regardless.
Answer:
A.19
hope this helps! this seems like an easy question to me, is this a trick question??
Answer: $2.64
Explanation:
Based on the information given in the question, the outstanding diluted share will be calculated as:
= 300,000 + 15000(5/30)
= 300000 + 15000(0.16667)
= 300000 + 2500
= 302500
The amount that Kasravi Co. should report for diluted earnings per share for the year ended 2018 will be calculated as:
Diluted Earning per share = Net income /outstanding diluted share
= $800,000 / 302,500
= $2.64
ANSWER = (c) $2.64